IBM
Vector Database Projects: AI Recommendation Systems
IBM

Vector Database Projects: AI Recommendation Systems

This course is part of Vector Database Fundamentals Specialization

Taught in English

IBM Skills Network Team
Richa Arora

Instructors: IBM Skills Network Team

Included with Coursera Plus

Course

Gain insight into a topic and learn the fundamentals

Intermediate level

Recommended experience

5 hours (approximately)
Flexible schedule
Learn at your own pace

What you'll learn

  • Job-ready proficiency with AI-powered database recommendation systems that you can immediately put to work and highlight on LinkedIn.

  • How to use Hugging Face natural language processing (NLP) tools, embeddings, and PDF classification skills for similarity search.

  • Build a real-world food search recommendation system using a Hugging face model and algorithms with Chroma DB.

  • Implement a customized real-world NLP job search vector database recommendation system using your choice of vector database platform.

Details to know

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Recently updated!

July 2024

Assessments

1 assignment

Course

Gain insight into a topic and learn the fundamentals

Intermediate level

Recommended experience

5 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Build your subject-matter expertise

This course is part of the Vector Database Fundamentals Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
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There is 1 module in this course

You will create a job recommendation system for your final project in this module by applying many of the skills learned throughout this program. In the first lesson, you will learn about Hugging Face, a growing, open-source AI community. You will learn about several of their crowd-sourced NLP models and how to incorporate them into your projects. In lesson two, we provide you with a practice project before the final project. This non-graded project provides you with step-by-step instructions for building a recommendation system similar to the final project. You will complete the second project independently and will be graded by one of your peers. You will also evaluate one of your peer’s projects using a rubric with objective grading criteria. You also have the opportunity to demonstrate your comprehension of the final project by completing a graded quiz.

What's included

2 videos4 readings1 assignment1 peer review4 app items4 plugins

Instructors

IBM Skills Network Team
IBM
58 Courses836,487 learners

Offered by

IBM

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